On the relationship between SAS image resolution and target-detection performance

David P. Williams; Alan J. Hunter

doi:10.1109/OCEANS-Genova.2015.7271377

On the relationship between SAS image resolution and target-detection performance

David P. Williams, Alan J. Hunter

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

The relationship between synthetic aperture sonar (SAS) image resolution and target-detection performance is quantified. It is first demonstrated how a lower-resolution SAS system can be simulated in a principled manner by band-limiting the image wavenumber spectrum of a full-resolution SAS image. This insight enables a direct comparison of target-detection performance in imagery of different resolutions while all other variables (such as data-collection conditions) remain fixed. The comparison is achieved by degrading a given SAS image to a series of different along-track resolutions and range resolutions, and then applying the same detection algorithm to the resulting set of images. This is repeated on a large scale for a set of real SAS data collected at sea at eight different geographical locations in various environmental conditions; the data considered comprise over 1500 images collectively spanning over 8 square-kilometers of seabed and containing over 2000 mine-like targets. The results quantify the dependence of target-detection performance and false alarm rate on along-track resolution and range resolution. This information can be used to determine the minimum processing requirements needed onboard an autonomous underwater vehicle for effective through-the-sensor survey adaptation, and also to inform SAS system design and procurement decisions.

Original language	English (US)
Title of host publication	MTS/IEEE OCEANS 2015 - Genova
Subtitle of host publication	Discovering Sustainable Ocean Energy for a New World
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479987368
DOIs	https://doi.org/10.1109/OCEANS-Genova.2015.7271377
State	Published - Sep 17 2015
Event	MTS/IEEE OCEANS 2015 - Genova - Genova, Italy Duration: May 18 2015 → May 21 2015

Publication series

Name	MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World

Conference

Conference	MTS/IEEE OCEANS 2015 - Genova
Country/Territory	Italy
City	Genova
Period	5/18/15 → 5/21/15

All Science Journal Classification (ASJC) codes

Renewable Energy, Sustainability and the Environment
Oceanography

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/OCEANS-Genova.2015.7271377

Cite this

Williams, D. P., & Hunter, A. J. (2015). On the relationship between SAS image resolution and target-detection performance. In MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World Article 7271377 (MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/OCEANS-Genova.2015.7271377

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title = "On the relationship between SAS image resolution and target-detection performance",

abstract = "The relationship between synthetic aperture sonar (SAS) image resolution and target-detection performance is quantified. It is first demonstrated how a lower-resolution SAS system can be simulated in a principled manner by band-limiting the image wavenumber spectrum of a full-resolution SAS image. This insight enables a direct comparison of target-detection performance in imagery of different resolutions while all other variables (such as data-collection conditions) remain fixed. The comparison is achieved by degrading a given SAS image to a series of different along-track resolutions and range resolutions, and then applying the same detection algorithm to the resulting set of images. This is repeated on a large scale for a set of real SAS data collected at sea at eight different geographical locations in various environmental conditions; the data considered comprise over 1500 images collectively spanning over 8 square-kilometers of seabed and containing over 2000 mine-like targets. The results quantify the dependence of target-detection performance and false alarm rate on along-track resolution and range resolution. This information can be used to determine the minimum processing requirements needed onboard an autonomous underwater vehicle for effective through-the-sensor survey adaptation, and also to inform SAS system design and procurement decisions.",

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Williams, DP & Hunter, AJ 2015, On the relationship between SAS image resolution and target-detection performance. in MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World., 7271377, MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World, Institute of Electrical and Electronics Engineers Inc., MTS/IEEE OCEANS 2015 - Genova, Genova, Italy, 5/18/15. https://doi.org/10.1109/OCEANS-Genova.2015.7271377

On the relationship between SAS image resolution and target-detection performance. / Williams, David P.; Hunter, Alan J.
MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World. Institute of Electrical and Electronics Engineers Inc., 2015. 7271377 (MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - The relationship between synthetic aperture sonar (SAS) image resolution and target-detection performance is quantified. It is first demonstrated how a lower-resolution SAS system can be simulated in a principled manner by band-limiting the image wavenumber spectrum of a full-resolution SAS image. This insight enables a direct comparison of target-detection performance in imagery of different resolutions while all other variables (such as data-collection conditions) remain fixed. The comparison is achieved by degrading a given SAS image to a series of different along-track resolutions and range resolutions, and then applying the same detection algorithm to the resulting set of images. This is repeated on a large scale for a set of real SAS data collected at sea at eight different geographical locations in various environmental conditions; the data considered comprise over 1500 images collectively spanning over 8 square-kilometers of seabed and containing over 2000 mine-like targets. The results quantify the dependence of target-detection performance and false alarm rate on along-track resolution and range resolution. This information can be used to determine the minimum processing requirements needed onboard an autonomous underwater vehicle for effective through-the-sensor survey adaptation, and also to inform SAS system design and procurement decisions.

AB - The relationship between synthetic aperture sonar (SAS) image resolution and target-detection performance is quantified. It is first demonstrated how a lower-resolution SAS system can be simulated in a principled manner by band-limiting the image wavenumber spectrum of a full-resolution SAS image. This insight enables a direct comparison of target-detection performance in imagery of different resolutions while all other variables (such as data-collection conditions) remain fixed. The comparison is achieved by degrading a given SAS image to a series of different along-track resolutions and range resolutions, and then applying the same detection algorithm to the resulting set of images. This is repeated on a large scale for a set of real SAS data collected at sea at eight different geographical locations in various environmental conditions; the data considered comprise over 1500 images collectively spanning over 8 square-kilometers of seabed and containing over 2000 mine-like targets. The results quantify the dependence of target-detection performance and false alarm rate on along-track resolution and range resolution. This information can be used to determine the minimum processing requirements needed onboard an autonomous underwater vehicle for effective through-the-sensor survey adaptation, and also to inform SAS system design and procurement decisions.

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Williams DP, Hunter AJ. On the relationship between SAS image resolution and target-detection performance. In MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World. Institute of Electrical and Electronics Engineers Inc. 2015. 7271377. (MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World). doi: 10.1109/OCEANS-Genova.2015.7271377

On the relationship between SAS image resolution and target-detection performance

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

UN SDGs

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